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Machine Learning Model Deployment - KDnuggets

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Serverless is the next step in Cloud Computing. This means that servers are simply hidden from the picture. In serverless computing, this separation of server and application is managed by using a platform. The responsibility of the platform or serverless provider is to manage all the needs and configurations for your application. These platforms manage the configuration of your server behind the scenes.


Deep Learning Frameworks Compared: MxNet vs TensorFlow vs DL4j vs PyTorch

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It's a great time to be a deep learning engineer. In this article, we will go through some of the popular deep learning frameworks like Tensorflow and CNTK so you can choose which one is best for your project. Deep Learning is a branch of Machine Learning. Though machine learning has various algorithms, the most powerful are neural networks. Deep learning is the technique of building complex multi-layered neural networks.


Facebook AI Open-Sources RAG, An Innovation in Intelligent NLP Models

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Facebook collaborated with Hugging Face to open-source a natural language processing model known as RAG (Retrieval Augmented Generation). RAG allows NLP models to bypass the retraining step, access and draw from up-to-date information, and then use a state-of-the-art seq2seq generator to output the results. RAG has built an NLP model that researches and contextualizes (as opposed to the more traditional, general-purpose NLP model). This innovation is essential for teaching computers to understand how to write and speak like a human. RAG allows researchers and engineers to quickly develop and deploy solutions to their knowledge-intensive tasks with just five lines of code.


Google's 'Lip Synch' Challenge To Teach Its AI Systems How We Speak

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The Lip Synch challenge, recently introduced by Google's AI Experiment group, aims at teaching the tech giant's AI system the art of reading lips. This initiative is being executed to help Google develop applications for people with speaking disabilities, such as Amyotrophic lateral sclerosis (ALS). Google plans to take assistance from professional singers to help their AI systems learn the skill of synchronisation. The platform is very self-descriptively named Lip Synch and is built by YouTube for Chrome on desktop. Lip Sync offers participants to sing a particular segment of the "Dance Monkey" by Tones and I, the only permissible sound bite accepted currently.


The Basics Of Natural Language Processing in 10 Minutes

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Do you also want to learn NLP as Quick as Possible? Perhaps you are here because you also want to learn natural language processing as quickly as possible, like me. To install Jupyter notebook, just open your cmd(terminal) and type pip install jupyter-notebook after that type jupyter notebook to run it then you can see that your notebook is open at http://127.0.0.1:8888/ token . NLTK: It is a python library that can we used to perform all the NLP tasks(stemming, lemmatization, etc..) Before learning anything let's first understand NLP. Natural Language refers to the way we humans communicate with each other and processing is basically formatting the data in an understandable form.


14 open source tools to make the most of machine learning

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Spam filtering, face recognition, recommendation engines -- when you have a large data set on which you'd like to perform predictive analysis or pattern recognition, machine learning is the way to go. The proliferation of free open source software has made machine learning easier to implement both on single machines and at scale, and in most popular programming languages. These open source tools include libraries for the likes of Python, R, C, Java, Scala, Clojure, JavaScript, and Go. Apache Mahout provides a way to build environments for hosting machine learning applications that can be scaled quickly and efficiently to meet demand. Mahout works mainly with another well-known Apache project, Spark, and was originally devised to work with Hadoop for the sake of running distributed applications, but has been extended to work with other distributed back ends like Flink and H2O. Mahout uses a domain specific language in Scala.


{ C Language } Deep Learning From Ground Up

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Free Coupon Discount - { C Language } Deep Learning From Ground Up, Build Artificial Intelligence Applications in C Created by Israel Gbati Preview this Udemy Course - GET COUPON CODE Welcome to the { C Language } Deep Learning From Ground Up course. We are going to embark on a very exciting journey together. We are going to learn how to build deep neural networks from scratch in c language. We shall begin by learning the basics of deep learning with practical code showing each of the basic building blocks that end up making a giant deep neural network all the way to building fully functions deep learning models using c language only. By the end of this course you will be able to build neural networks from scratch without libraries, you will be able to understand the fundamentals of deep learning from a c language perspective and you will also be able to build your own deep learning library in c.


Reinforcement Learning frameworks

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This is the post number 20 in the "Deep Reinforcement Learning Explained" series devoted to Reinforcement Learning frameworks. So far, in previous posts, we have been looking at a basic representation of the corpus of RL algorithms (although we have skipped several) that have been relatively easy to program. But from now on, we need to consider both the scale and complexity of the RL algorithms. In this scenario, programming a Reinforcement Learning implementation from scratch can become tedious work with a high risk of programming errors. To address this, the RL community began to build frameworks and libraries to simplify the development of RL algorithms, both by creating new pieces and especially by involving the combination of various algorithmic components.


10 Best Python Libraries For Computer Vision Tasks

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One of the most favourite languages amongst the developers, Python is well-known for its abundance of tools and libraries available for the community. The language also provides several computer vision libraries and frameworks for developers to help them automate tasks, which includes detections and visualisations. Below here, we are listing down 10 best Python libraries that developers can use for Computer Vision. It also provides researchers with low-level components that can be mixed and matched to build new approaches. IPSDK is an image processing library in C and Python.


What I learned as a college student running a large open-source project

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My name is Palash Shah, and I'm the author of Libra: a machine learning library that lets you build and train models in one line of code. My journey in the open source community started as a normal college student -- I worked on my library after classes in my dorm room. Quite quickly though, it began to grow into something much bigger than that, going from 0 to close to 2,000 stars in under a month. All of a sudden it was being used at universities like Carnegie Mellon and MIT in several of their machine learning classes. As someone who previously had no professional presence and/or connections in the technical industry, my experience starting this project was unique compared to the rest of the players in this space.